The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-09"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "12268518 (up from 12041480 yesterday: 1.89 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "554924 (up from 549468 yesterday: 0.99 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3779541

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.52



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3117946 63247 2.07 926893 133290 990 0.75 4.27
Brazil 1755779 42619 2.49 777637 69184 1220 1.80 3.94
India 793802 26506 3.45 413270 21604 475 2.25 2.72
Russia 706240 6491 0.93 145919 10826 176 1.65 1.53
Peru 316448 3537 1.13 72060 11314 181 1.63 3.58
Chile 306216 3133 1.03 81113 6682 109 1.66 2.18
United Kingdom 289154 643 0.22 -12781 44687 85 0.19 15.45
Mexico 282283 7280 2.65 116828 33526 730 2.23 11.88
Spain 253056 543 0.22 7788 28401 5 0.02 11.22
Iran 250458 2079 0.84 52811 12305 221 1.83 4.91
Pakistan 243599 2751 1.14 78537 5058 75 1.51 2.08
Italy 242363 214 0.09 4204 34926 12 0.03 14.41
South Africa 238339 13674 6.09 154449 3720 118 3.28 1.56
Saudi Arabia 223327 3183 1.45 77336 2100 41 1.99 0.94
Turkey 209962 1024 0.49 25931 5300 18 0.34 2.52
France 207356 1284 0.62 12084 29982 46 0.15 14.46
Germany 199001 302 0.15 9184 9057 11 0.12 4.55
Bangladesh 175494 3360 1.95 73202 2238 41 1.87 1.28
Colombia 128638 4144 3.33 71436 4791 185 4.02 3.72
Canada 108656 322 0.30 6779 8797 11 0.13 8.10
Qatar 102110 557 0.55 17669 142 4 2.90 0.14
Argentina 90693 3663 4.21 53183 1720 26 1.53 1.90
China 84992 42 0.05 498 4641 0 0.00 5.46
Egypt 79254 950 1.21 28817 3617 53 1.49 4.56
Sweden 74333 475 0.64 18290 5500 18 0.33 7.40
Indonesia 70736 2657 3.90 27974 3417 58 1.73 4.83
Iraq 69612 2170 3.22 43895 2882 103 3.71 4.14
Belarus 64411 187 0.29 7754 449 6 1.35 0.70
Ecuador 64221 976 1.54 15124 4900 27 0.55 7.63
Belgium 62210 87 0.14 1862 9778 2 0.02 15.72
Kazakhstan 54747 3688 7.22 38870 264 0 0.00 0.48
United Arab Emirates 53577 532 1.00 9825 328 1 0.31 0.61
Kuwait 52840 833 1.60 14766 382 3 0.79 0.72
Ukraine 52285 828 1.61 17452 1344 21 1.59 2.57
Philippines 51754 1395 2.77 23955 1314 0 0.00 2.54
Oman 51725 1518 3.02 24907 236 3 1.29 0.46
Netherlands 51013 54 0.11 1486 6156 2 0.03 12.07
Singapore 45423 125 0.28 3950 26 0 0.00 0.06
Portugal 45277 418 0.93 7188 1644 13 0.80 3.63
Bolivia 44113 1129 2.63 22614 1638 61 3.87 3.71
Panama 42216 965 2.34 18865 839 20 2.44 1.99
Dominican Republic 40790 1202 3.04 16145 842 13 1.57 2.06
Poland 36951 262 0.71 5936 1551 9 0.58 4.20
Israel 34825 1268 3.78 14789 348 4 1.16 1.00
Afghanistan 33908 314 0.93 6376 957 21 2.24 2.82
Switzerland 32586 88 0.27 1386 1966 0 0.00 6.03
Bahrain 31528 597 1.93 11098 103 5 5.10 0.33
Romania 30789 614 2.03 7709 1834 17 0.94 5.96
Nigeria 30748 499 1.65 12268 689 5 0.73 2.24
Armenia 30346 526 1.76 11648 535 14 2.69 1.76
Guatemala 26658 1247 4.91 14790 1092 39 3.70 4.10
Honduras 26384 406 1.56 15645 704 10 1.44 2.67
Ireland 25565 23 0.09 210 1743 5 0.29 6.82
Ghana 23463 641 2.81 10534 129 0 0.00 0.55
Azerbaijan 22464 548 2.50 11135 284 10 3.65 1.26
Japan 20617 356 1.76 3029 982 0 0.00 4.76
Moldova 18666 195 1.06 5560 624 10 1.63 3.34
Austria 18615 102 0.55 1392 706 0 0.00 3.79
Algeria 17808 460 2.65 6423 988 10 1.02 5.55
Serbia 17342 266 1.56 4726 352 11 3.23 2.03
Nepal 16531 108 0.66 8683 35 0 0.00 0.21
Morocco 15079 308 2.09 6005 242 0 0.00 1.60
Cameroon 14916 0 0.00 5052 359 0 0.00 2.41
Korea, South 13338 45 0.34 1032 288 1 0.35 2.16
Denmark 13117 16 0.12 573 609 0 0.00 4.64
Czechia 12919 105 0.82 2639 352 1 0.28 2.72
Cote d’Ivoire 11750 246 2.14 5306 79 1 1.28 0.67
Uzbekistan 11564 472 4.26 5797 51 6 13.33 0.44
Sudan 10158 74 0.73 2138 641 5 0.79 6.31

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 399513 584 0.15 13753 32283 32 0.10 8.08 20536.75 1659.49 1 in 49
California 302484 9924 3.39 135398 6859 141 2.10 2.27 7655.45 173.59 1 in 131
Texas 236541 11612 5.16 135282 3006 131 4.56 1.27 8157.74 103.67 1 in 123
Florida 232718 8935 3.99 146792 4009 120 3.09 1.72 10835.31 186.66 1 in 92
New Jersey 174270 231 0.13 6163 15448 116 0.76 8.86 19620.16 1739.21 1 in 51
Illinois 151572 1018 0.68 16794 7329 20 0.27 4.84 11961.34 578.37 1 in 84
Arizona 112671 4057 3.74 69226 2038 75 3.82 1.81 14796.14 267.63 1 in 68
Massachusetts 110897 295 0.27 4475 8268 25 0.30 7.46 15957.54 1189.73 1 in 63
Georgia 106727 2837 2.73 45815 2930 8 0.27 2.75 10052.06 275.96 1 in 99
Pennsylvania 97542 817 0.84 12859 6848 36 0.53 7.02 7619.28 534.92 1 in 131
North Carolina 79656 1969 2.53 31488 1477 15 1.03 1.85 7594.90 140.83 1 in 132
Michigan 75063 512 0.69 8265 6271 9 0.14 8.35 7516.18 627.93 1 in 133
Louisiana 71994 1843 2.63 23360 3355 16 0.48 4.66 15486.60 721.69 1 in 65
Maryland 71447 586 0.83 8218 3288 13 0.40 4.60 11817.86 543.86 1 in 85
Virginia 67988 613 0.91 11750 1937 32 1.68 2.85 7965.30 226.93 1 in 126
Ohio 61331 1150 1.91 18209 3006 15 0.50 4.90 5246.85 257.16 1 in 191
Tennessee 57591 1605 2.87 24821 710 25 3.65 1.23 8428.15 103.90 1 in 119
South Carolina 50691 1782 3.64 29158 905 21 2.38 1.79 9845.37 175.77 1 in 102
Indiana 49575 512 1.04 8137 2739 7 0.26 5.52 7363.84 406.85 1 in 136
Alabama 49174 2212 4.71 20968 1068 10 0.95 2.17 10028.99 217.82 1 in 100
Connecticut 47209 101 0.21 1769 4348 5 0.12 9.21 13241.29 1219.54 1 in 76
Minnesota 40163 574 1.45 8488 1528 5 0.33 3.80 7121.56 270.94 1 in 140
Washington 38581 640 1.69 11389 1409 15 1.08 3.65 5066.52 185.03 1 in 197
Colorado 35507 408 1.16 5621 1706 2 0.12 4.80 6165.76 296.25 1 in 162
Wisconsin 33908 754 2.27 10032 809 2 0.25 2.39 5823.68 138.95 1 in 172
Mississippi 33591 703 2.14 12950 1204 16 1.35 3.58 11286.73 404.55 1 in 89
Iowa 33254 630 1.93 8393 741 5 0.68 2.23 10539.86 234.86 1 in 95
Utah 27356 601 2.25 11517 205 4 1.99 0.75 8532.86 63.94 1 in 117
Missouri 26410 820 3.20 9039 1073 4 0.37 4.06 4303.11 174.83 1 in 232
Arkansas 26052 806 3.19 12124 309 4 1.31 1.19 8632.71 102.39 1 in 116
Nevada 24904 603 2.48 12735 571 18 3.25 2.29 8085.30 185.38 1 in 124
Nebraska 20623 198 0.97 3209 284 2 0.71 1.38 10661.14 146.81 1 in 94
Oklahoma 18497 603 3.37 9142 410 3 0.74 2.22 4674.54 103.61 1 in 214
Kentucky 18245 326 1.82 5048 612 4 0.66 3.35 4083.78 136.98 1 in 245
Kansas 17785 453 2.61 6032 293 4 1.38 1.65 6104.73 100.57 1 in 164
Rhode Island 17243 39 0.23 974 974 3 0.31 5.65 16276.79 919.42 1 in 61
New Mexico 14251 234 1.67 4098 533 6 1.14 3.74 6796.45 254.19 1 in 147
Delaware 12531 69 0.55 2032 517 2 0.39 4.13 12868.62 530.93 1 in 78
Oregon 11188 371 3.43 4822 230 6 2.68 2.06 2652.61 54.53 1 in 377
District of Columbia 10679 37 0.35 776 568 4 0.71 5.32 15131.44 804.82 1 in 66
Idaho 9429 460 5.13 5686 100 2 2.04 1.06 5261.53 55.80 1 in 190
Puerto Rico 8862 117 1.34 2751 159 0 0.00 1.79 2774.84 49.79 1 in 360
South Dakota 7336 94 1.30 1227 101 3 3.06 1.38 8292.46 114.17 1 in 121
New Hampshire 5973 21 0.35 523 387 1 0.26 6.48 4392.85 284.62 1 in 228
North Dakota 4071 100 2.52 878 85 0 0.00 2.09 5342.09 111.54 1 in 187
West Virginia 3826 119 3.21 1408 95 0 0.00 2.48 2140.84 53.16 1 in 467
Maine 3486 26 0.75 608 111 1 0.91 3.18 2593.34 82.58 1 in 386
Wyoming 1769 29 1.67 625 21 0 0.00 1.19 3056.54 36.28 1 in 327
Montana 1466 95 6.93 811 25 2 8.70 1.71 1371.66 23.39 1 in 729
Vermont 1272 16 1.27 137 56 0 0.00 4.40 2038.50 89.75 1 in 491
Alaska 1268 46 3.76 561 17 0 0.00 1.34 1733.32 23.24 1 in 577
Hawaii 1130 36 3.29 368 19 0 0.00 1.68 798.09 13.42 1 in 1253

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4468016 399513 8.94 1288356 13753 1.07 229676.00
2 California 5078434 302484 5.96 2003904 135398 6.76 128528.18
3 Texas 2313212 236541 10.23 905471 135282 14.94 79777.26
4 Florida 2357398 232718 9.87 846086 146792 17.35 109760.07
5 New Jersey 1599417 174270 10.90 427683 6163 1.44 180070.12
6 Illinois 1879878 151572 8.06 595185 16794 2.82 148351.05
7 Arizona 653061 112671 17.25 273329 69226 25.33 85761.02
8 Massachusetts 925761 110897 11.98 184501 4475 2.43 133212.55
9 Georgia 1019422 106727 10.47 356218 45815 12.86 96014.07
10 Pennsylvania 880023 97542 11.08 255955 12859 5.02 68741.12
11 North Carolina 1121811 79656 7.10 428133 31489 7.35 106960.53
12 Michigan 1223553 75063 6.13 373367 8265 2.21 122516.32
13 Louisiana 880140 71994 8.18 334919 23360 6.97 189326.52
14 Maryland 612581 71447 11.66 164973 8218 4.98 101325.41
15 Virginia 753428 67988 9.02 251360 11750 4.67 88269.73
16 Ohio 916402 61331 6.69 316378 18209 5.76 78397.99
17 Tennessee 972714 57591 5.92 320320 24821 7.75 142351.71
18 South Carolina 463765 50691 10.93 183242 29158 15.91 90073.95
19 Indiana 542292 49575 9.14 157570 8137 5.16 80551.75
20 Alabama 470504 49174 10.45 147970 20968 14.17 95958.85
21 Connecticut 545621 47209 8.65 173036 1769 1.02 153037.05
22 Minnesota 705440 40163 5.69 244561 8488 3.47 125086.18
23 Washington 645072 38581 5.98 210056 11389 5.42 84711.89
24 Colorado 370702 35507 9.58 108486 5621 5.18 64372.11
25 Wisconsin 660764 33908 5.13 202975 10032 4.94 113485.87
26 Mississippi 324804 33591 10.34 86089 12950 15.04 109135.66
27 Iowa 354659 33254 9.38 113728 8393 7.38 112409.23
28 Utah 388733 27356 7.04 106048 11517 10.86 121253.30
29 Missouri 454825 26410 5.81 157483 9039 5.74 74106.78
30 Arkansas 364661 26052 7.14 136227 12124 8.90 120835.70
31 Nevada 329778 24904 7.55 98982 12735 12.87 107065.36
32 Nebraska 197835 20623 10.42 53022 3209 6.05 102271.60
33 Oklahoma 401754 18497 4.60 132651 9142 6.89 101530.69
34 Kentucky 424013 18245 4.30 117633 5048 4.29 94906.90
35 Kansas 208482 17785 8.53 66358 6032 9.09 71561.80
36 Rhode Island 165137 17243 10.44 -46456 974 -2.10 155883.59
37 New Mexico 389687 14251 3.66 113790 4098 3.60 185845.87
38 Delaware 130205 12531 9.62 41521 2032 4.89 133713.10
39 Oregon 282075 11188 3.97 92939 4822 5.19 66878.28
40 District of Columbia 115923 10679 9.21 43724 776 1.77 164255.28
41 Idaho 114620 9429 8.23 46608 5686 12.20 63959.73
43 South Dakota 87310 7336 8.40 16957 1227 7.24 98693.39
44 New Hampshire 129628 5973 4.61 27644 523 1.89 95334.96
45 North Dakota 117849 4071 3.45 27195 878 3.23 154644.90
46 West Virginia 197189 3826 1.94 52760 1408 2.67 110337.31
47 Maine 115758 3486 3.01 41698 608 1.46 86115.88
48 Wyoming 39045 1769 4.53 2891 625 21.62 67463.31
49 Montana 108765 1466 1.35 41895 811 1.94 101765.75
50 Vermont 72749 1272 1.75 18004 137 0.76 116586.99
51 Alaska 135744 1268 0.93 54559 561 1.03 185557.96
52 Hawaii 89152 1130 1.27 24778 368 1.49 62966.14

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 238461 7862 3.41 132625 55.62 95647 9893 226 2.34 4.15
Tamil Nadu 130261 3680 2.91 82324 63.20 46108 1829 64 3.63 1.40
Delhi 109140 2089 1.95 84694 77.60 21146 3300 42 1.29 3.02
Gujarat 40155 875 2.23 28183 70.19 9949 2023 14 0.70 5.04
Uttar Pradesh 33700 1338 4.13 21787 64.65 11024 889 27 3.13 2.64
Karnataka 33418 2313 7.44 13838 41.41 19031 545 57 11.68 1.63
Telangana 32224 1278 4.13 19205 59.60 12680 339 8 2.42 1.05
West Bengal 27109 1198 4.62 17348 63.99 8881 880 26 3.04 3.25
Andhra Pradesh 25422 1608 6.75 13194 51.90 11936 292 15 5.42 1.15
Rajasthan 23174 611 2.71 17620 76.03 5057 497 6 1.22 2.14
Haryana 19934 570 2.94 14904 74.77 4740 290 3 1.05 1.45
Madhya Pradesh 16657 316 1.93 12481 74.93 3538 638 4 0.63 3.83
Assam 15537 936 6.41 9849 63.39 5650 35 8 29.63 0.23
Bihar 14330 352 2.52 10251 71.54 3968 111 2 1.83 0.77
Odisha 11956 755 6.74 7972 66.68 3911 73 6 8.96 0.61
Jammu and Kashmir 9888 387 4.07 5786 58.52 3943 159 5 3.25 1.61
Punjab 7357 217 3.04 5017 68.19 2153 187 4 2.19 2.54
Kerala 6951 416 6.37 3820 54.96 3099 28 0 0.00 0.40
State Unassigned 4161 -224 -5.11 0 0.00 4161 0 0 NaN 0.00
Chhattisgarh 3832 166 4.53 3028 79.02 787 17 2 13.33 0.44
Jharkhand 3518 250 7.65 2224 63.22 1271 23 0 0.00 0.65
Uttarakhand 3373 68 2.06 2706 80.23 592 46 0 0.00 1.36
Goa 2251 100 4.65 1347 59.84 895 9 0 0.00 0.40
Tripura 1930 141 7.88 1338 69.33 578 1 0 0.00 0.05
Manipur 1582 132 9.10 832 52.59 750 0 0 NaN 0.00
Puducherry 1272 72 6.00 637 50.08 618 17 1 6.25 1.34
Himachal Pradesh 1171 31 2.72 872 74.47 276 10 0 0.00 0.85
Ladakh 1064 9 0.85 917 86.18 146 1 0 0.00 0.09
Nagaland 732 59 8.77 304 41.53 428 0 0 NaN 0.00
Chandigarh 536 13 2.49 408 76.12 121 7 0 0.00 1.31
Dadra and Nagar Haveli and Daman and Diu 470 14 3.07 224 47.66 242 1 0 0.00 0.21
Arunachal Pradesh 302 0 0.00 120 39.74 180 2 0 0.00 0.66
Mizoram 226 23 11.33 143 63.27 83 0 0 NaN 0.00
Meghalaya 186 73 64.60 45 24.19 139 2 1 100.00 1.08
Andaman and Nicobar Islands 156 0 0.00 83 53.21 73 0 0 NaN 0.00
Sikkim 134 0 0.00 80 59.70 41 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1114827 94770 119 0.13 8.50 201 31 8357 16730 17.65
Piemonte 441677 31475 16 0.05 7.13 193 10 1124 4108 13.05
Emilia-Romagna 536432 28769 29 0.10 5.36 96 10 1066 4269 14.84
Veneto 1040189 19358 10 0.05 1.86 17 2 392 2037 10.52
Toscana 363333 10314 1 0.01 2.84 11 2 337 1120 10.86
Liguria 158901 10010 4 0.04 6.30 34 1 278 1558 15.56
Lazio 359842 8252 28 0.34 2.29 198 13 889 843 10.22
Marche 146278 6798 4 0.06 4.65 5 0 173 987 14.52
P.A. Trento 130754 4876 0 0.00 3.73 1 0 33 405 8.31
Campania 298217 4755 5 0.11 1.59 45 0 232 432 9.09
Puglia 196070 4536 0 0.00 2.31 14 0 74 546 12.04
Friuli Venezia Giulia 206808 3332 1 0.03 1.61 2 0 75 345 10.35
Abruzzo 112505 3318 8 0.24 2.95 26 0 147 464 13.98
Sicilia 229851 3098 1 0.03 1.35 6 0 128 283 9.13
P.A. Bolzano 89077 2653 3 0.11 2.98 6 0 84 292 11.01
Umbria 103642 1447 0 0.00 1.40 3 0 7 80 5.53
Sardegna 90529 1371 0 0.00 1.51 3 0 10 134 9.77
Valle d’Aosta 19246 1196 0 0.00 6.21 4 0 5 146 12.21
Calabria 102585 1185 0 0.00 1.16 4 0 28 97 8.19
Molise 24149 445 0 0.00 1.84 0 0 15 23 5.17
Basilicata 41756 405 0 0.00 0.97 2 0 5 27 6.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56216 137 0.24 5609 6 0.11 9.98 6584.46 656.97 1 in 152
Ontario 38200 121 0.32 2750 2 0.07 7.20 2596.55 186.92 1 in 385
Alberta 8519 37 0.44 161 3 1.90 1.89 1930.37 36.48 1 in 518
British Columbia 3028 20 0.66 186 0 0.00 6.14 592.46 36.39 1 in 1688
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 813 5 0.62 15 0 0.00 1.85 688.01 12.69 1 in 1453
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 166 1 0.61 2 0 0.00 1.20 212.82 2.56 1 in 4699
Prince Edward Island 33 1 3.12 0 0 NaN 0.00 208.65 0.00 1 in 4793
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1647 8 0.49
Hong Kong 1365 7 0.51
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 721 7 0.97
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 244 1 0.41
Shanxi 199 0 0.00
Tianjin 199 3 1.51
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 162 2 1.23
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 9529.17 407.37 1 in 105
Brazil 8388.82 330.55 1 in 119
India 592.83 16.13 1 in 1687
Russia 4887.47 74.92 1 in 205
Peru 9836.74 351.69 1 in 102
Chile 16964.88 370.19 1 in 59
United Kingdom 4352.11 672.59 1 in 230
Mexico 2184.85 259.49 1 in 458
Spain 5423.40 608.68 1 in 184
Iran 3085.98 151.61 1 in 324
Pakistan 1236.54 25.68 1 in 809
Italy 4007.32 577.48 1 in 250
South Africa 4202.03 65.59 1 in 238
Saudi Arabia 6779.81 63.75 1 in 147
Turkey 2598.22 65.59 1 in 385
France 3095.33 447.56 1 in 323
Germany 2403.68 109.40 1 in 416
Bangladesh NA NA 1 in NA
Colombia 2621.52 97.64 1 in 381
Canada 2890.56 234.03 1 in 346

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 218052 23247 10.66
Los Angeles California 124992 3690 2.95
Cook Illinois 94005 4676 4.97
Maricopa Arizona 73165 1012 1.38
Miami-Dade Florida 55961 1092 1.95
Nassau New York 42164 2188 5.19
Suffolk New York 41849 1991 4.76
Harris Texas 40918 423 1.03
Westchester New York 35183 1432 4.07
Dallas Texas 30361 436 1.44
Philadelphia Pennsylvania 27228 1633 6.00
Broward Florida 25102 427 1.70
Middlesex Massachusetts 24348 1903 7.82
Wayne Michigan 23701 2744 11.58
Riverside California 23334 533 2.28
Orange California 21517 402 1.87
Clark Nevada 20622 468 2.27
Suffolk Massachusetts 20172 1013 5.02
Bergen New Jersey 19771 2020 10.22
Prince George’s Maryland 19456 700 3.60
Hudson New Jersey 19037 1477 7.76
Essex New Jersey 18928 2060 10.88
Palm Beach Florida 18656 578 3.10
San Diego California 18402 415 2.26
Bexar Texas 17679 165 0.93
San Bernardino California 17414 304 1.75
Passaic New Jersey 17000 1216 7.15
Middlesex New Jersey 16952 1361 8.03
Fairfield Connecticut 16886 1380 8.17
Hillsborough Florida 16666 182 1.09
Union New Jersey 16462 1341 8.15
Essex Massachusetts 16379 1133 6.92
Tarrant Texas 16180 254 1.57
Orange Florida 15595 69 0.44
Montgomery Maryland 15503 754 4.86
Fairfax Virginia 14284 497 3.48
Mecklenburg North Carolina 13757 158 1.15
Rockland New York 13683 668 4.88
Salt Lake Utah 13646 124 0.91
Travis Texas 13161 159 1.21
Providence Rhode Island 13144 0 0.00
Milwaukee Wisconsin 13004 397 3.05
Hennepin Minnesota 12867 789 6.13
Shelby Tennessee 12842 214 1.67
Worcester Massachusetts 12583 954 7.58
Davidson Tennessee 12549 138 1.10
New Haven Connecticut 12509 1079 8.63
Oakland Michigan 12488 1097 8.78
Hartford Connecticut 11866 1385 11.67
Marion Indiana 11812 690 5.84
King Washington 11419 632 5.53
Franklin Ohio 11122 439 3.95
Duval Florida 11028 74 0.67
Pima Arizona 10835 313 2.89
Orange New York 10810 484 4.48
District of Columbia District of Columbia 10679 568 5.32
Jefferson Louisiana 10544 489 4.64
Gwinnett Georgia 10415 175 1.68
Lake Illinois 10175 427 4.20
Pinellas Florida 9826 221 2.25
Ocean New Jersey 9773 992 10.15
Fulton Georgia 9586 319 3.33
DuPage Illinois 9502 483 5.08
Norfolk Massachusetts 9384 950 10.12
Monmouth New Jersey 9371 831 8.87
Puerto Rico 8862 159 1.79
Plymouth Massachusetts 8777 674 7.68
Montgomery Pennsylvania 8749 822 9.40
Cuyahoga Ohio 8518 383 4.50
Baltimore Maryland 8497 493 5.80
Bristol Massachusetts 8399 594 7.07
El Paso Texas 8385 145 1.73
Orleans Louisiana 8344 539 6.46
Lee Florida 8340 176 2.11
Baltimore City Maryland 8155 358 4.39
Out of GA Georgia 8034 50 0.62
Kane Illinois 7971 281 3.53
Yuma Arizona 7899 124 1.57
Yakima Washington 7868 178 2.26
Douglas Nebraska 7773 97 1.25
Mercer New Jersey 7765 596 7.68
Macomb Michigan 7690 923 12.00
Prince William Virginia 7687 155 2.02
Imperial California 7654 127 1.66
Denver Colorado 7651 386 5.05
Fresno California 7627 87 1.14
Erie New York 7624 639 8.38
Camden New Jersey 7600 540 7.11
DeKalb Georgia 7472 175 2.34
St. Louis Missouri 7469 593 7.94
Delaware Pennsylvania 7447 664 8.92
Alameda California 7407 146 1.97
Hidalgo Texas 7334 123 1.68
Will Illinois 7120 322 4.52
Polk Iowa 6990 182 2.60
Hampden Massachusetts 6932 671 9.68
Morris New Jersey 6864 817 11.90
Wake North Carolina 6704 57 0.85
Charleston South Carolina 6699 51 0.76
East Baton Rouge Louisiana 6468 276 4.27

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc